<img src="https://m2p-website-file.s3.ap-south-1.amazonaws.com/marketing-cms/m2p-blog/2026/09/m2p_kyc_suite_creative_2000x1000.webp" alt="CKYC, eKYC, Video KYC — Explained. Consolidated. Compliant." title="" id="1g0aimrri" width="100%" height="362">Every bank, NBFC, fintech, insurer, and increasingly every government service desk in India runs on the same underlying question: is this person who they say they are? The answer used to take days and a stack of photocopies. Today, it's expected to take seconds — without compromising on compliance, fraud prevention, or customer experience.That shift is why "KYC software" has become one of the most searched terms in Indian BFSI technology procurement. But the term hides a lot of complexity. Search for it and you'll find a dozen vendors, a dozen acronyms — CKYC, eKYC, VKYC, AUA, KUA — and very little that actually explains how these pieces fit together, what to look for before buying, or what problems still don't have great answers.This guide is meant to be the reference point. It covers what KYC software actually is, the components that make up a complete stack, the evaluation questions most buyers don't think to ask, the compliance landscape it has to operate inside, and where the category is headed next.<h2 class="heading-node" id="9wni4ji28">What Is KYC Software, Exactly?</h2>KYC(Know Your Customer) is a regulatory requirement, not a product. KYC software is the technology layer that lets a regulated institution meet that requirement digitally: capturing a customer's identity, verifying it against authoritative sources, checking it for fraud or tampering, and maintaining an auditable record, all without a human being physically checking a photocopy of a PAN card.In India, this has a specific technical shape because of two connected but distinct government identity infrastructures:<ul class="list-node" id="mi30ir1k1"><li>CKYC (Central KYC Registry) — a central repository (maintained by CERSAI) that stores KYC records once and lets any regulated entity retrieve them instantly, rather than re-collecting the same documents every time a customer opens a new account elsewhere.</li><li>Aadhaar-based eKYC — verification against UIDAI's Aadhaar database, accessed through licensed AUA/KUA (Authentication User Agency / KYC User Agency) integrations.</li></ul>Everything else in a modern KYC software stack — video verification, document OCR, biometric matching, fraud scoring, masking — exists to make those two verification paths faster, more secure, and usable across more channels (web, app, branch, call centre, kiosk).<h1 class="heading-node" id="1klysmv0w">The Components of a Complete KYC Software Stack</h1>If you're evaluating KYC software for the first time, the acronyms are the first wall you hit. Here's what each piece actually does and when you need it — because in practice, most institutions need several of these working together, not just one.<h2 class="heading-node" id="bvuq852ab">CKYC Retrieval</h2>Pulls a customer's existing KYC record using their OVD (officially valid document) number, date of birth, and mobile number. If the customer has ever completed KYC anywhere in the regulated financial system, this can complete onboarding almost instantly — no fresh document upload needed. This is usually the first check a well-designed KYC software flow should attempt, since it's the fastest and cheapest path when it hits.<h2 class="heading-node" id="hphmnisyx">Aadhaar eKYC (AUA/KUA)</h2>When there's no CKYC record to retrieve, Aadhaar-based authentication is the next layer — verifying identity via OTP, fingerprint, face, or iris, and fetching demographic data (name, DOB, address, photograph) directly from UIDAI. This requires the vendor to hold live AUA/KUA licensing, not just claim "Aadhaar integration" — a distinction worth confirming during vendor evaluation, since sub-licensing arrangements vary in reliability and audit-readiness.<h2 class="heading-node" id="rvlxo8k65">Video KYC (VKYC)</h2>RBI's video-based customer identification process (V-CIP) allows fully remote, branch-free onboarding — a human or AI-assisted agent verifies the customer's live video, checks document authenticity, and confirms liveness, all in one session. This matters enormously for lenders and neobanks trying to acquire customers in geographies where opening a physical branch isn't viable, and for institutions that need to serve customers without reliable Aadhaar OTP access (NRIs, elderly customers, low-connectivity regions).<h2 class="heading-node" id="wz3dugzb1">Min-KYC</h2>A lesser-known but increasingly important option: a CKYC-driven onboarding path that doesn't require Aadhaar verification at all. This exists for use cases where full KYC can be completed later (e.g., certain prepaid instruments, small-value accounts) and matters for products that need to go to market fast, in geographies or customer segments where Aadhaar-linked onboarding adds friction or isn't the ideal first step. It's rarely discussed in KYC software marketing, but it's often the fastest, cheapest onboarding path available for eligible use cases.<h2 class="heading-node" id="mwda25dsb">Instant Background Verification</h2>Beyond identity, many onboarding flows also need to check employment history, court records, and address — particularly for lending, hiring, and high-value account opening. Paperless, consent-driven background checks reduce this from a multi-day manual process to something that runs inline with digital onboarding.<h2 class="heading-node" id="45un4891s">Aadhaar Masking</h2>A narrower but non-negotiable requirement under UIDAI rules: any entity storing or displaying Aadhaar numbers must mask the first eight digits. Good KYC software handles this automatically and extends it to custom document formats — not just standard Aadhaar cards — since institutions often need to mask Aadhaar numbers embedded in other scanned documents too.<h2 class="heading-node" id="bld62nlcj">Identity Microservices</h2>For engineering teams building bespoke onboarding flows rather than adopting an off-the-shelf journey, granular APIs matter more than a packaged UI: liveness detection, OCR extraction, face match, GST/KYB (Know Your Business) checks, crime record checks, and AML screening as individually callable services. This is the layer that lets a product team compose their own flow instead of being boxed into a vendor's default journey.<h1 class="heading-node" id="evsu6w33e">What to Actually Evaluate Before Buying KYC Software</h1>Most KYC software comparisons stop at "does it do Aadhaar eKYC and Video KYC." That's table stakes. The questions that actually differentiate vendors — and that most vendor pages, including product pages across the industry, don't answer clearly — are these:1. Fraud detection accuracy, not just fraud detection claims. Almost every vendor claims "AI-powered fraud detection." Few publish what that means in practice: false-positive rates, spoofed-image detection accuracy, deepfake resilience for video KYC, and how forensic checks perform against real attack patterns (photo-of-photo, screen replay, synthetic identity documents). When evaluating a KYC software vendor, ask for these numbers directly, or for reference customers who can speak to fraud outcomes post-implementation — not just onboarding-speed outcomes.2. On-premise vs. cloud availability. Cloud-only KYC software is the default assumption in most vendor pitches, but it's a dealbreaker for public sector institutions, PSU banks, and any entity with data-residency or air-gapped infrastructure mandates. A vendor that genuinely supports both cloud and on-premise deployment — not just "can be discussed" — is solving a real, underserved requirement.3. Total cost of ownership, beyond the per-transaction rate. Per-verification pricing is easy to compare; what's harder to see upfront is the cost of integration effort, the cost of maintaining compliance as regulations change, and the operational cost of handling verification failures and manual review queues. A lower headline rate with a higher failure/fallback rate can cost more in practice. Ask vendors for real fallback-rate and manual-review-rate data, not just headline accuracy claims.4. Coverage beyond Aadhaar, if you operate outside India or serve NRI/foreign-national customers. Aadhaar-centric KYC software is built for the Indian resident use case. If your institution serves NRIs, foreign nationals, or operates in other markets, ask explicitly how the platform handles non-Aadhaar identity documents (passports, foreign national IDs) and whether that capability is native or requires a separate integration. This is a genuine gap across most Indian KYC software vendor pages, ours included as of today — and one worth pressing on directly in RFPs, since the answer varies a lot between vendors who've actually built for it and vendors who haven't.5. Compliance depth: RBI Master Direction, UIDAI audit checklist, and DPDP Act. KYC software doesn't operate in a compliance vacuum. It needs to satisfy RBI's KYC Master Direction (record-keeping, risk categorization, periodic updation), UIDAI's audit checklist for any Aadhaar-linked processing, and increasingly, the Digital Personal Data Protection (DPDP) Act's consent and data-minimisation requirements. Ask any vendor how their audit trail, consent logging, and data retention policies map to all three — not just RBI.6. Low-code/no-code configurability vs. rigid pre-built flows. Institutions with in-house product teams often want to configure onboarding journeys — reordering steps, adding conditional logic, swapping verification methods by customer segment — without a fresh engineering sprint every time. Whether a KYC software platform offers genuine no-code workflow building, or just customization via vendor professional services, materially changes how fast you can iterate post-launch.<h1 class="heading-node" id="mkkhxutgo">Why Institutions Are Consolidating Toward a Single KYC Software Suite</h1>A pattern worth naming explicitly: most institutions didn't set out to buy "a KYC suite." They bought Aadhaar eKYC from one vendor, added Video KYC from another when RBI's V-CIP norms landed, bolted on a background-verification tool for lending use cases, and built Aadhaar masking in-house or through a fourth integration.The result, a few years in, is a fragmented identity stack: multiple vendor contracts, multiple compliance audits, multiple points of integration failure, and no single, coherent view of a customer's verification history across products.Consolidating onto a single KYC software platform — one that covers CKYC, Aadhaar eKYC, Video KYC, Min-KYC, masking, background verification, and identity microservices under one contract, one dashboard, and one audit trail — isn't just a cost play. It removes the integration overhead of maintaining multiple vendor relationships, gives compliance teams one place to pull audit records from, and lets product teams reuse the same identity infrastructure across new products (lending, cards, neobanking, merchant onboarding) instead of re-procuring for each one.<h1 class="heading-node" id="in1nf1hdi">Where KYC Software Is Headed</h1>A few shifts worth watching over the next few years:<ul class="list-node" id="odv04qucp"><li>Agentic AI in verification workflows. Beyond rules-based fraud flags, AI models that can reason across a full onboarding session — cross-referencing document data, liveness signals, and behavioural patterns — are starting to move from research to production in identity verification.</li><li>Deeper video KYC automation. Fully AI-assisted VKYC sessions (reducing dependency on live human agents for routine cases, while retaining human review for edge cases) are becoming a genuine efficiency lever for high-volume onboarding.</li><li>Convergence with AML and fraud monitoring. KYC software and fraud/AML systems have historically been separate purchases; the operational logic for combining them — shared identity signals, shared risk scoring — is increasingly hard to ignore.</li><li>Government and public-sector adoption. Digital identity verification is expanding well beyond BFSI into direct citizen service delivery, welfare disbursement, and public-sector onboarding — a segment most KYC software vendors aren't built to serve at that scale or compliance bar.</li></ul><h1 class="heading-node" id="7im0ydgyj">Where M2P's KYC Suite Fits</h1>M2P's <a class="link" href="https://m2pfintech.com/kyc-suite/?utm_source=blg&amp;utm_medium=kyc&amp;utm_campaign=suite" target="_blank">KYC Suite</a> is built around the consolidation logic described above — CKYC retrieval, Aadhaar-based AUA/KUA authentication, Video KYC (available on both cloud and on-premise), Min-KYC, Aadhaar masking, instant background verification, and identity microservices, all accessible through a single low-code/no-code platform with one audit trail.It's currently used by 75+ BFSI institutions and 5 state governments, processing 3.8 billion digital identification transactions and 10–13 million verifications a day — a scale that reflects both consumer fintech and public-sector deployment, which is a meaningfully different bar than consumer-only KYC software vendors are built to clear.If you're a bank, NBFC, fintech, or government body evaluating what to consolidate onto — or simply trying to move past the CKYC-vs-eKYC-vs-VKYC confusion this guide opened with — it's worth a closer look at the KYC Suite and a <a class="link" href="https://m2pfintech.com/contact-us/?utm_source=blg&amp;utm_medium=kyc&amp;utm_campaign=suite" target="_blank">conversation with the team</a> about which modules map to your actual onboarding gaps.

M2P's AI-Powered KYC Suite: A Complete Guide to Digital Identity Verification, Compliance, and Onboarding at Scale

Liability Shift 101: Who Pays When Authentication Fails, and How ACS Placement Changes the Answer

<img src="https://m2p-website-file.s3.ap-south-1.amazonaws.com/marketing-cms/m2p-blog/2026/05/compliance-didnt-ask-for-it_blog_v1_2_2000x1000.webp" alt="Compliance Didn’t Ask for It — But Regulators Now Expect Smarter Risk Systems" title="" id="vbybj9xgo" width="100%" height="362">The ground is shifting beneath the feet of compliance officers. For years, the mantra was "follow the process". A meticulously documented, consistently applied compliance process was the shield against regulatory scrutiny. But that shield is proving increasingly ineffective against today's sophisticated threats.&nbsp;Regulators, grappling with a surge in financial crime, are now operating under a new, unspoken assumption, that regulated entities are leveraging advanced technology to manage risk. The focus is shifting from procedural diligence to demonstrable outcomes. This is a quiet but profound revolution, and firms that fail to adapt will find themselves exposed.&nbsp;<h2 class="heading-node" id="fi35u0ttk" style="text-align: left">From Procedural to Outcome-Based Oversight&nbsp;</h2>The era of "tick-the-box" compliance is over. Regulators are less interested in how you follow a process and more interested in the result. Are you effectively preventing money laundering? Are you protecting your customers from fraud in real-time? These are the questions that matter, and a paper-based, manual framework cannot provide satisfactory answers.&nbsp;The scale of the problem is staggering. In India, the banking sector recorded <a class="link" href="https://rmaindia.org/bank-fraud-losses-surge-to-%E2%82%B936014-cr-despite-drop-in-cases-rbi/" target="_blank">fraud-related losses of ₹36,014 crore</a> in FY 2024–25, a steep 194% surge from the previous year. In response, the Reserve Bank of India (RBI) has explicitly called on financial institutions to adopt advanced fraud-detection systems powered by artificial intelligence and machine learning to strengthen security. The message is clear, the expectation has been set.&nbsp;<h4 class="heading-node" id="a4tq9czyf" style="text-align: left">"We Followed the Process" is no longer Defensible</h4>Claiming you "followed the process" after a significant compliance failure is like saying you were looking at the map while driving into a ditch. In this new environment, it’s a defense that is unlikely to garner much sympathy.&nbsp;Financial crime has become a high-tech enterprise. Fraudsters use deep-fake voice scams, synthetic identities, and automated account takeovers that bypass traditional, rule-based defenses. Legacy systems are simply not equipped to handle the speed, volume, and complexity of modern threats. They suffer from fragmented data, slow response times, and an unacceptably high rate of false positives, which damages the customer experience.&nbsp;<h2 class="heading-node" id="n3hw5wfrr" style="text-align: left">The Rise of Tech-Enabled Audits and Model Governance&nbsp;</h2>This new regulatory expectation is also changing the nature of audits. Tech-enabled audits are rapidly becoming the norm, with regulators using AI to analyze entire datasets for anomalies. As firms adopt their own advanced technologies, a new area of focus is emerging: model governance. If you are using an AI model to make risk decisions, you must be able to explain how it works, prove its accuracy, and ensure it is free from bias.&nbsp;<h2 class="heading-node" id="hc0sq9dpt" style="text-align: left">M2P's FRM: Your Regulatory Insurance in a Tech-Driven World&nbsp;</h2>Navigating this new landscape requires a strategic shift from reactive defense to proactive, intelligent risk management. This is where M2P's <a class="link" href="https://m2pfintech.com/blog/how-m2ps-ai-powered-fraud-risk-monitoring-frm-is-transforming-fraud-detection-for-financial-institutions/" target="">AI-powered Fraud and Risk Management (FRM)</a> solution comes in. It's not just a compliance tool; it's the regulatory insurance your institution needs to thrive in the digital age.&nbsp;M2P’s FRM platform is built to address the core challenges financial institutions face today, aligning perfectly with the new regulatory expectations.&nbsp;<table class="border-collapse border border-gray-300" style="min-width: 50px"><colgroup><col style="min-width: 25px"><col style="min-width: 25px"></colgroup><tbody><tr class="border border-gray-300"><td class="border border-gray-300 p-2" colspan="1" rowspan="1">Challenge&nbsp;</td><td class="border border-gray-300 p-2" colspan="1" rowspan="1">How M2P's FRM Provides the Solution&nbsp;</td></tr><tr class="border border-gray-300"><td class="border border-gray-300 p-2" colspan="1" rowspan="1">Fragmented Systems &amp; Data Silos&nbsp;</td><td class="border border-gray-300 p-2" colspan="1" rowspan="1">Our platform unifies fraud detection across all channels—including cards, UPI, BNPL, and core banking—to create a single source of truth for risk insights. This eliminates the gaps fraudsters exploit between disparate systems.&nbsp;</td></tr><tr class="border border-gray-300"><td class="border border-gray-300 p-2" colspan="1" rowspan="1">Slow, Reactive Detection&nbsp;</td><td class="border border-gray-300 p-2" colspan="1" rowspan="1">In a world where milliseconds matter, our FRM enables sub-400 millisecond response times. It uses advanced machine learning to apply risk assessments and detect anomalies in real-time, before a fraudulent transaction completes.&nbsp;</td></tr><tr class="border border-gray-300"><td class="border border-gray-300 p-2" colspan="1" rowspan="1">High False Positives &amp; Poor Customer Experience&nbsp;</td><td class="border border-gray-300 p-2" colspan="1" rowspan="1">Traditional systems generate high false-positive rates (sometimes up to 40%), frustrating legitimate customers. Our AI/ML models achieve an average detection accuracy of 96.4% and reduce false positives to just 5.2%, ensuring genuine customers have a frictionless experience.&nbsp;</td></tr><tr class="border border-gray-300"><td class="border border-gray-300 p-2" colspan="1" rowspan="1">Inflexible &amp; Slow Rule Management&nbsp;</td><td class="border border-gray-300 p-2" colspan="1" rowspan="1">Legacy systems require vendor dependency for rule changes. Our FRM empowers risk teams with a self-service Business Rules Engine (BRE), enabling them to design, test, and deploy new rules instantly without any coding.&nbsp;</td></tr><tr class="border border-gray-300"><td class="border border-gray-300 p-2" colspan="1" rowspan="1">Weak Authentication &amp; Manual Case Tracking&nbsp;</td><td class="border border-gray-300 p-2" colspan="1" rowspan="1">We strengthen security with Multi-Factor Authentication (MFA) and behavioral biometrics, analyzing patterns like typing cadence and mouse movements. Our integrated Case Management module automates tracking, allocation, and resolution workflows, providing full visibility and accountability.&nbsp;</td></tr><tr class="border border-gray-300"><td class="border border-gray-300 p-2" colspan="1" rowspan="1">Limited Insights &amp; Reporting&nbsp;</td><td class="border border-gray-300 p-2" colspan="1" rowspan="1">Our platform delivers actionable dashboards and comprehensive reports on fraud trends, rule performance, and operational metrics. This empowers your team to make data-backed decisions and prepare for audits with confidence.&nbsp;</td></tr></tbody></table> &nbsp;&nbsp;The message from regulators is unequivocal: the old ways of <a class="link" href="https://m2pfintech.com/blog/the-rising-threat-of-financial-fraud-why-robust-risk-management-is-essential/" target="_blank">managing risk</a> are no longer acceptable. In a world of increasingly sophisticated financial crime, leveraging advanced technology is not just an option; it's a fundamental requirement. By embracing a tech-driven approach, you can not only meet your regulatory obligations but also enhance operational efficiency, improve the customer experience, and protect your bottom line.&nbsp;Ready to future-proof your compliance and risk strategy?Explore <a class="link" href="https://m2pfintech.com/contact-us/?utm_source=blog&amp;utm_medium=web&amp;utm_campaign=frm" target="">M2P's Fraud and Risk Management (FRM)</a> solution today to turn your regulatory obligations into a competitive advantage.

Compliance Didn’t Ask for It — But Regulators Now Expect Smarter Risk Systems

<img src="https://m2p-website-file.s3.ap-south-1.amazonaws.com/m2p-website-file/marketing-cms/m2p-blog/2023/05/FRS-Banner.webp" alt="Facial Recognition System - M2P" title="" width="100%" height="531">Facial recognition technology today goes beyond just unlocking your smartphone. 7 out of 10 governments worldwide use the technology on a large scale for surveillance, security, and pandemic control. &nbsp;Businesses are deploying facial recognition technology for <a class="link" href="https://m2pfintech.com/blog/transform-digital-onboarding-with-vkyc/">VKYC</a>, payment authorization, access control, and customer experience, to name a few. Use cases range across industries like financial services, educational institutions, transport services, legal enforcement, and private businesses, among several others. Valued at $6.28 billion, the facial recognition market is expected to grow at 16% CAGR to reach $11.35 billion by 2027. With increased security and convenience as the two potential benefits, this <a class="link" href="https://m2pfintech.com/kyc-suite/">digital identification technology</a> has been increasingly deployed over the past decade.Before heading further into the world of facial recognition, let’s take a quick glimpse into how identity verification happens conventionally.<h2 class="heading-node" id="fxvravy6t" style="text-align: justify">Traditional Identity Verification</h2><ul class="list-node" id="6khqeq0yj"><li>People had to only rely on physical identification documents such as IDs, passports, and driving licenses to verify their identity.</li><li>Legal entities had to depend on eyewitnesses or labor-intensive manual identification techniques to identify suspects.</li><li>Security at airports, government buildings, and other high-security facilities was mostly based on manual checks. Even today, metal detectors and X-ray scanners are used for verification.</li></ul><h2 class="heading-node" id="mcouj92e1" style="text-align: justify">Shift to Modern Facial Recognition Technology</h2>The ability of <a class="link" href="https://m2pfintech.com/blog/5-reasons-why-banks-need-behavioral-biometrics/">behavioral biometrics</a> and modern facial recognition technology to authenticate IDs has been revolutionary. Irrespective of whether you use it in transportation, aviation, commerce, or as a security solution, the technology delivers key advantages in speed, accuracy, and convenience. Further, facial recognition works well in integration with a wide range of other technologies, especially security software. It is easy to incorporate into existing security systems at a low cost, enabling a win-win situation for organizations that seek a frictionless solution. A few notable implementations are listed below.<ul class="list-node" id="agfv0czy0"><li>Law enforcement agencies can use facial recognition technology to quickly identify suspects by matching their faces with the existing database.</li><li>Some countries like China have started using facial recognition technology for border control, to verify the identity of travelers entering and leaving the country.</li><li>In the airline industry, facial recognition is already employed to offer speedy, accurate identification verification at every stage of the passenger journey, including check-in, luggage drop, security screening, retail transactions, and boarding lineups.</li></ul><h2 class="heading-node" id="kcgq6zfnu" style="text-align: justify">M2P Facial Recognition System (FRS)</h2>Facial recognition/detection, <a class="link" href="https://m2pfintech.com/blog/unmask-the-power-of-face-liveness-detection-integrating-google-ml-kit-into-your-flutter-app/">liveness check</a>, and matching are components of our facial technology. To streamline citizen authentication across several services, we've developed a cloud-based FRS solution that can be integrated with current government databases and applications. Using state-of-the-art AI algorithms for biometric identification, we comply with international standards for privacy and protection, to make it easy for citizens to access government services in a secure and expedited manner. We work with the private firms and governments in Andhra Pradesh, Telangana, and Orissa on the following projects.<ul class="list-node" id="tfypywqbe"><li>Group face attendance solution for marking attendance in schools (for 14 lakh students)</li><li>Online counseling for degree colleges for intermediate pass-out students in Telangana</li><li>Pension services through our <a class="link" href="https://m2pfintech.com/blog/transform-digital-onboarding-with-vkyc/">video KYC</a> solution in Orissa</li><li>Driving license and vehicle registration without a personal visit to the Telangana RTA department</li><li>Face-based attendance application to ambulance drivers to mark their shift-wise attendance for private firms.</li></ul><h3 class="heading-node" id="hxw5gf5nw" style="text-align: justify">Key Benefits</h3><ul class="list-node" id="z1lxv8y56"><li>Contactless: Our <a class="link" href="https://m2pfintech.com/blog/how-is-ai-changing-the-financial-industry-top-6-use-cases-in-fintech-and-banking/">AI</a> &amp; ML-enabled advanced facial attendance system is based on contactless technology, which means it can be used to identify individuals without requiring physical contact. It can even mark attendance within a safe distance of 6 feet. Being contactless by nature, it ensures system functionality at crucial times.</li><li>Flexibility: Facial attendance solution offers a greater amount of flexibility since it can be operated at edge level without any internet connectivity. It can capture single attendance and group attendance based on custom requirements.</li><li>Instantaneous: Facial recognition is instant and can provide results in real-time, meaning that the system can identify a person as soon as their face is captured by a camera.</li><li>Fool-Proof: Our FRS solution has the potential to complete the verifications with the best of accuracy and reliability making it the fool-proof solution for identity verification.</li><li>Saves cost and effort: FRS is a potential cost-saving solution that reduces the need for human personnel to manually identify individuals which in turn prevents errors and biases in identification.</li></ul><h3 class="heading-node" id="y6a4ohx41" style="text-align: justify">Use Cases of Facial Recognition</h3>We rolled out our advanced Facial recognition solution involving Facial technology, Geo-fencing, and De-duplication modules to different government and financial institutions across the Telangana state. Below are the use cases where FRS plays a major role. Subsidy Management System: FRS integrations enable seamless monitoring of subsidies for government entities where all the beneficiaries need to be authenticated to prevent misuse. The distribution of subsidies can be managed centrally, making it easier to track and monitor the use of funds. FRS can capture and store data on beneficiaries, including their personal information, income, and eligibility for the subsidy. By doing so, it ensures that only those who meet the criteria receive the subsidy, and that there is no duplication of benefits. The facial system can identify any irregularities in the distribution of funds, such as multiple claims by the same beneficiary or claims by ineligible beneficiaries. Citizen Identification: FRS aids in the rapid identification of citizens, decreasing the time and resources required for manual identification processes. This customer identity check is highly accurate, reducing the risk of errors in identifying individuals. FRS can improve security by adding an extra layer of identification and verification. Customer Onboarding: FRS can be used for customer onboarding across industries like banking, insurance, and several others. It can streamline the <a class="link" href="https://m2pfintech.com/blog/crack-the-kyc-jigsaw-ease-onboarding-compliance/">KYC </a>and onboarding process by verifying the identity of customers remotely, which saves time and reduces costs. The application helps mitigate any risks associated with using FRS for customer onboarding. Attendance Marking: Using FRS technology, attendance marking can be done in a matter of minutes for a group of 50 students, as opposed to traditional methods of manual marking which can take much longer. This is because FRS technology can identify and mark attendance for multiple individuals simultaneously, without the need for physical contact or manual input. It helps to detect up to 8 faces in a single frame, it takes only 2 to 3 seconds per attendee. Let's discuss the attendance marking use case in detail.<h3 class="heading-node" id="w387kl1am" style="text-align: justify">How Does Facial Recognition Technology Enable Attendance Marking?</h3>Step 1: Onboarding process and integration&nbsp; First, the FRS application must be onboarded and integrated with the existing system.<ul class="list-node" id="lhqnxh1si"><li>Attendee/attendees are registered in the portal or the mobile app</li><li>Data is integrated to the system using department level <a class="link" href="https://m2pfintech.com/blog/api-the-power-that-drives-new-age-banking-ecosystems/">APIs</a></li><li>Attendee details can be customized based on entity requirement</li></ul>Step 2: Registration process The next step is registration where participants can choose to sign up with or without an Aadhar number based on the availability. With Aadhaar<ul class="list-node" id="9k21lkoqb"><li>Register attendee with Aadhaar in FRS system</li><li>Perform Aadhaar-based e-KYC</li><li>Aadhaar details of the attendee are fetched</li><li>Perform liveness check by capturing live photo</li><li>Face match between photo from Aadhaar and live photo</li><li>Enrolment completed</li></ul>Without Aadhaar<ul class="list-node" id="0xiwzzeyh"><li>Register attendee in AI FRS system</li><li>Details of individual are fetched</li><li>Capture live photo of attendee</li><li>Perform liveness check</li><li>Enrolment completed</li></ul>Step 3: Attendance Marking Once the registration is complete, attendance of a single person or a group can be captured.<ul class="list-node" id="vl0je38d2"><li>Open application and capture selfie/photo</li><li>Attendance recorded to edge level</li><li>Attendance marking is done in 2 ways</li><li>1:N - To capture the attendance of 1 person in less than a second</li><li>N:N - To capture the attendance of up to a 50-member group in less than 2 minutes</li></ul>Step 4: Reports and Live Dashboards Monitoring With the integrated dashboard, you can easily monitor all the reports generated by this solution. Soon after the completion of the capture and authentication processes, the reports are instantly generated. With the help of this software, it is possible to continuously monitor and keep an eye on the live monitoring dashboard of the FRS system.<h3 class="heading-node" id="t62u8gnhl" style="text-align: justify">Proven Impact of FRS in Attendance Marking</h3><ul class="list-node" id="h78758cmv"><li>Lead time taken to enroll an attendee is less than 5 seconds.</li><li>Liveness check accuracy is 100%</li><li>Face matching accuracy is 100%</li><li>False acceptance ratio is less than 0.1%</li><li>False rejection ratio is less than 0.1%</li></ul>Apart from the results listed above, our facial recognition system provides the benefits below.<ul class="list-node" id="j47pegcmu"><li>Marks attendance offline</li><li>Syncs data automatically when connectivity is restored (after network outage)</li><li>Contactless capture within 5 feet distance</li><li>Live monitoring with MIS reports</li><li>Geo location binding</li></ul>Our facial recognition system is a versatile solution that can be easily and quickly integrated into any system without any hassle.<h2 class="heading-node" id="f1n8tolnx" style="text-align: justify">Future of Facial Recognition</h2>Face recognition technology is the future of identity verification. It holds a wide scope for potential innovation in security, marketing, healthcare, retail, and entertainment. We can expect to see a significant improvement in the accuracy of face recognition systems for more reliable identification in complex and challenging situations. Want to know more about facial recognition solutions? Write to us at <a class="link" href="mailto:business@m2pfintech.com">business@m2pfintech.com</a>. Make your identity verification and authentication a breeze!

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